GAIn - the world standard in AI Education

The Global Artificial Intelligence network (GAIn®) is an initiative of MIcompany that offers a worldwide open standard portfolio in AI skill building through a members’ network. We assist professionals and businesses worldwide to develop the required skill set to prosper from AI, by offering training on all aspects of the technology for all levels within the organization. Building people capabilities around AI and data has always been at the center of our purpose as a company. We achieve this through a duel focus with open courses for individuals and in-company trainings for groups.

GAIn aims to build and certify all skills within organizations to radically change key processes and increase productivity using AI. The scalable and modular training portfolio consist of more than 60 courses and certifications, and is designed by industry experts with 15+ years of experience. GAIn has issued more than 3,600 certificates and is trusted by blue-chip companies, including eBay, Heineken, Nike, ABN AMRO, KPN, AEGON, Bol.com, Ageas, and Proximus. In 2020 we launched the GAIn Virtual Training Method, which allows people from all corners of the world to participate in our courses through a live and engaging online experience.

Creating opportunities with AI requires a new way of working

Artificial Intelligence is seen as the next general-purpose technology with endless opportunities to make life easier, safer and healthier. However, to grasp these opportunities key processes in organizations need to be changed. This asks for a multidisciplinary approach driven by data science, technology, and models. To grasp the full potential of AI, a fundamental redesign of key processes is needed. This is a  transformation that requires both a new way of working and new skill sets.

To address these challenges and fulfill the increasing demand for global solutions of companies like eBay, Nike, Heineken, and Ageas, we formed the Global Artificial Intelligence Network (GAIn®) portfolio. This comprehensive modular training and certification portfolio ranges from a common AI Foundations course to specialized programs for AI Engineers, AI Data Scientists and AI Business Professionals on practitioners, expert and master level. It consists of 60+ individual course modules and certificates, 10 programs and is totaling 114 training days.

The GAIn portfolio
The GAIn® portfolio explained

We use GAIn® to build AI skills across the organization.

The 5 core values of GAIN

GAIn is aimed at building all the skills within organizations to radically change key processes with AI to increase productivity. The GAIn portfolio realizes this goal by operating from five core values. The 5 core values are listed below.

 

1. A modular approach for multiple target groups

 

In order to answer the multidisciplinary challenges of AI, the GAIn portfolio is developed around three core tracks. The Data Scientist and AI for Business Tracks are built on the successful programs of MIacadamy with over 13 years of experience in the data science- and over 9 years of experience in the business track. The AI Engineer tracks are relatively new and consist of 27 tech badges with a focus on cloud infrastructure, model operationalization, and app development. These are the core tech disciplines needed to radically change processes with algorithms at scale.

In order to create one language, all programs are preceded by a 2-day AI Foundation Program with a special executive version for the C-level of companies.

The total portfolio of GAIn is organized in ten programs all with their own star certification and consists of more than 60 individual course modules and is totaling 114 training days.

 

2. Build an integrated skillset

 

All programs integrate 4 key areas relevant to grasp the full potential of AI. For each role in the organization, it is essential to develop a basis in all four areas since use cases are developed in cross-functional teams where understanding each other is key. Besides the basis in all areas, AI experts and leaders also require a deeper understanding of one of the areas, the so-called T-shape. The four areas are:

  • Impact & Opportunities: Focuses on designing the use case, aimed at realizing impact
  • Leadership & Change: Focuses on setting strategic priorities and building a data-driven culture
  • Machine Learning & Statistics: Focuses on developing analytics and advanced modeling skills, including model management
  • Data & Technology: Focuses on strong data, ETL, and deep technical skills, including bringing models into production

Especially in the area of Data & Technology, we have seen rapid developments over the last few years, where the knowledge of implementing the AI solution in a robust and scalable way is key.

3. Focus on lasting breakthroughs

 

Developing an AI solution is one thing, but implementing a solution that will create real lasting value often proves to be a big challenge.

Therefore all GAIn badges have a key focus on creating impact. This is done by working with real-life datasets and challenges and learning which steps are needed to get your idea implemented. For example, the badge Model Operationalization focuses on implementing the technical solution in such a way that it can be used in the business process, including putting the right feedback loops in place to monitor and improve.

 

4. Content development by the top of the field practitioners

 

90% of the badges are developed by experts with extensive experience in transforming blue-chip companies.

For example one of our partners at MIcompany Wouter leads the badge on Use case Leadership. It brings together more than 10 years of transformation project experience, in a module full of real-life challenges and how to deal with them. For the 3-year Technology track, this means that our top experts on cloud infrastructure, model operationalization, and app development have translated their knowledge from many use case projects and transformation challenges into hands-on training badges ranging from automating data pipelines, to cloud containerization to cloud infrastructure as code.

The other 10% of the badges are created by top scientists of leading universities from different countries such as Israel – on Baysian and complex networks, The Netherlands – on advanced Econometrics and Germany – on creating shareholder value with AI.

 

5. Globally scalable through a standardized learning approach

 

All badges are standardized and certified based on years of hands-on didactical experience. This means that all badges follow a similar design in theory versus case work, that they use high-quality standardized material and end with an exam to test required skill levels. When you pass the exam you receive the accompanying badge certificate. By obtaining all badges at a level you can obtain the star-certification – thereby demonstrating that you master all relevant techniques at that star level.

GAIn is supported and adopted by the following partners